Classification of Local Surface Using Neural Network and Object Rotation of Two Degrees of Freedom

2008 ◽  
pp. 903-910
Author(s):  
Takashi Kojima ◽  
Yuji Iwahori ◽  
Tsuyoshi Nakamura ◽  
Shinji Fukui ◽  
Robert J. Woodham ◽  
...  
Keyword(s):  
Neural Network ◽  
Degrees Of Freedom ◽  
Local Surface ◽  
Two Degrees Of Freedom ◽  
Object Rotation

Workspace Generation for a 2 - DOF Parallel Mechanism Using Neural Networks

2012 ◽  
Vol 162 ◽  
pp. 121-130 ◽  
Author(s):  
Emilia Campean ◽  
Tiberiu Pavel Itul ◽  
Ionela Tanase ◽  
Adrian Pisla
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Parallel Mechanism ◽  
Degrees Of Freedom ◽  
Kinematic Model ◽  
Inverse Kinematic ◽  
Two Degrees Of Freedom ◽  
Initial Testing ◽  
Network Application ◽  
Satellite Dish

The main purpose of the paper is to develop a neural network application destined to the workspace generation of a parallel mechanism, as an performant alternative to the workspace representation based on inverse kinematic model. The paper describes both algorithms. The initial testing was made for a parallel mechanism with two degrees of freedom that could be applied for the orientation of different systems like a TV satellite dish antennas, sun trackers, telescopes, cameras, radars etc.

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